Uniswap Labs

Senior Data Analytics Engineer

Uniswap Labs

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $196,000 - $217,000 per year

Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudETLGoogle Cloud PlatformHadoopMySQLPostgresPythonScalaSparkSQLTableau

About the role

  • Design, develop, and maintain scalable data pipelines to manage and transform large amounts of on-chain and off-chain data that make data insights widely available across the company
  • Optimize data storage and retrieval processes for performance and scalability.
  • Implement data validation and monitoring processes to ensure data accuracy and consistency.
  • Conduct regular audits and data quality assessments to identify and resolve data issues.
  • Develop and maintain data models, dashboards, and reports to support business analytics and decision-making.
  • Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide robust solutions.
  • Conduct exploratory data analysis to discover trends, patterns, and insights that drive business and product strategy.
  • Work closely with cross-functional teams, including product, engineering, and business teams, to understand data requirements and deliver solutions that meet business needs.
  • Communicate complex data insights and technical details to non-technical stakeholders effectively.
  • Provide technical guidance and mentorship to junior data engineers and analysts.
  • Stay current with the latest trends and technologies in data engineering and analytics.
  • Continuously evaluate and implement new tools and technologies to improve data processing, analysis, and visualization capabilities.
  • Drive the adoption of best practices in data engineering and analytics across the organization.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
  • 5+ years of experience in data engineering, data analytics, or a related field with Bachelor’s degree, or 3 years of experience with Master’s degree
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL)
  • Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., BigQuery, Snowflake).
  • Proficiency in programming languages such as Python or Scala.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Strong understanding of ETL processes, data modeling, and data warehousing concepts.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
  • Preferred: Experience with cloud data platforms (e.g., AWS, GCP, Azure).
  • Preferred: Knowledge of machine learning and data science techniques.